Year: 2025
Type: article
Abstract: IoT driven solutions for efficient and continuous patient monitoring is increasingly needed given that several resource limited and understaffed healthcare facilities require these solutions. In this paper, we describe a scalable and privacy respecting real time in-patient monitoring system coupled with a hybrid edge cloud architecture. The system is powered by an ESP32-C3 and the Gravity: MAX30102 heart and SpO₂ sensor, and a LM35 sensor for being body temperature. InfluxDB powered edge node is a node which processes sensor data using edge and then stores locally with low latency access and offline functionality. Also, the system synchronizes historical data to a secure cloud database as well as in sync to the database for analysis in advanced analysis and long-term trend monitoring. The real time dashboards and alert mechanisms that healthcare workers are empowered with, enables them to proactively take decisions as opposed to employing manual interventions. The system achieves performance, high reliability, and clinical utility for use in resource poor countries: an important step towards the development of cheap, automated vital tracking systems.
Author: Rajdeep Saha
Institution: SRM Institute of Science and Technology
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409924590